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Identification procedure in a model of single fibre action potential – Part II: Global approach and experimental results

机译:单纤维动作电位模型中的识别程序-第二部分:整体方法和实验结果

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The present paper describes a global procedure for estimating all the synthesis parameters that generate a single fibre action potential (SFAP) in the Dimitrov–Dimitrova (D–D) convolutional model. We call this inverse problem Identification Procedure, and it is presented in two parts, this paper being the second. The procedure incorporates the candidate pair (CP) method developed in Part I, which provides the values of radial distance r and fibre diameter d of the simulated SFAP that best matches a potential under study. The CP-method required prior knowledge of all the excitation parameters. However, since the Identification Procedure makes no assumption about the excitation, multiple combinations of the synthesis parameters result in very similar SFAPs whose shape is close the signal under study. Analysis of the possible combinations reveals that r and d can be modelled as two jointly Gaussian random variables. The interest of the Identification Procedure is that, for a certain SFAP, it provides estimates of r and d, along with estimates of different parameters that determine the IAP waveform. Moreover, the procedure is able to determine the degree of error that accompanies the estimation of r and d.
机译:本文介绍了一种整体程序,用于估计Dimitrov-Dimitrova(D-D)卷积模型中产生单个纤维动作电位(SFAP)的所有合成参数。我们称之为逆问题识别程序,它分为两个部分,本文为第二部分。该程序结合了第I部分中开发的候选对(CP)方法,该方法提供了与所研究的潜力最匹配的模拟SFAP的径向距离r和纤维直径d的值。 CP方法需要所有激励参数的先验知识。但是,由于“识别程序”不对激发进行任何假设,因此合成参数的多种组合会导致形状非常接近所研究信号的非常相似的SFAP。对可能组合的分析表明,可以将r和d建模为两个联合的高斯随机变量。识别程序的兴趣在于,对于某个SFAP,它提供r和d的估计值,以及确定IAP波形的不同参数的估计值。此外,该过程能够确定伴随r和d估计的误差程度。

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